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. 2023 Feb 17;120(8):e2211115120. doi: 10.1073/pnas.2211115120

Fig. 1.

Fig. 1.

Schematic representation of the abelian and nonabelian formulations of sequential data assimilation (DA), showing a forecast–analysis cycle. The Top row of the diagram shows the dynamical flow Φt : XX. The second row shows the observation map h : XY used to update the state of the DA system in the analysis step. The rows labeled Inline graphic, Inline graphic, and Inline graphic show the abelian, infinite-dimensional nonabelian (quantum mechanical), and finite-dimensional nonabelian (matrix mechanical) DA systems, respectively. In Inline graphic, the forecast step is carried out by the transfer operator Pt:S(A)S(A) acting on states of the abelian algebra A. The analysis step (green dot) is represented by an effect-valued map F:YA that updates the state given observations in Y. In Inline graphic, the forecast step is carried out by the transfer operator Pt:S(B)S(B) acting on states of the nonabelian operator algebra B. The analysis step (red dot) is carried out by an effect F:YB given by the composition of F with the regular representation π of A into B (red arrow). The state space S(A) is embedded into S(B) by means of a map Γ, which is compatible with both forecast and analysis; Eqs. 4 and 9. This compatibility is represented by the commutative loops between Inline graphic and Inline graphic having Γ as a vertical arrow. To arrive at the matrix mechanical DA, Inline graphic, we project B into an L2-dimensional operator algebra BL using a positivity-preserving projection ΠL. The composition of this projection with ℱ leads to an effect FL:YBL employed in the analysis step (purple arrow and dot). Moreover, ΠL induces a state space projection ΠL:S(B)S(BL) and a projected transfer operator PL(t):S(BL)S(BL) employed in the forecast step. Vertical dotted arrows indicate asymptotically commutative relationships that hold as L → ∞.